Efficient global sensitivity analysis using mechanistic or machine learning models.
A MATLAB-based tool implementing the framework developed for performing efficient variance decomposition-based Sobol sensitivity analysis in the following paper.
If you benefit from this work and would like to cite easyGSA in publications, please use
@article{easyGSA,
author = {Resul Al and Chitta Ranjan Behera and Alexandr Zubov and Krist V. Gernaey and G\"urkan Sin},
title = {Meta-modeling based efficient global sensitivity analysis for wastewater treatment plants – An application to the BSM2 model},
journal = {Computers \& Chemical Engineering},
volume = {127},
pages = {233--246},
year = {2019},
}
Placing the single file (easyGSA.p) into your own working directory will suffice to make use of the full functionality of the tool.
The easyGSA tool is released under the MIT License.
This work has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement no.675251.
